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LLMrefs
· Keyword-based AI search analytics that tracks brand rankings and share of voice across major LLMs.
LLMrefs
Keyword-based AI search analytics that tracks brand rankings and share of voice across major LLMs.
Chandan Kumar
LLMrefs is an AI search analytics platform that tracks how often and where a brand appears in answers from large language models. It covers ChatGPT (including ChatGPT Search), Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude, Grok, Microsoft Copilot, Meta AI and DeepSeek, with geo-targeting across more than 50 countries and 20-plus languages.
Tracking is organised around keywords: a user adds a keyword or topic, and the platform generates conversational prompts based on real user conversations rather than requiring every prompt to be written by hand. Results are reported as share of voice and position metrics, with competitor benchmarking and identification of the sources each model cites. Reports are delivered weekly, and client dashboards can be organised by project.
Beyond monitoring, the vendor bundles a few free utilities, including an AI crawlability checker, a Reddit thread finder and an llms.txt generator, and offers API access and CSV export. The product is focused on measurement rather than content production, so it pairs with a separate writing or optimization tool. Pricing is a single flat plan with unlimited seats and projects, which is unusual in this category.
What LLMrefs actually includes
Multi-engine tracking
Monitors brand mentions and rankings across ChatGPT, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI, DeepSeek and Google AI Overviews and AI Mode.
Keyword-to-prompt generation
Turns a tracked keyword into auto-generated prompts modelled on real user conversations.
Share of voice and competitor benchmarking
Reports brand position and share of voice against named competitors for each engine.
Citation source analysis
Identifies and filters the sources that AI models cite when they answer tracked prompts.
API and CSV export
Exposes tracking data through an API and CSV downloads for reporting and workflow integration.
LLMrefs's strengths and limitations
Strengths
- Low entry price for a tool covering ten or more AI engines
- Unlimited team seats and projects on the single plan
- Geo-targeting across 50+ countries and 20+ languages
- 7-day free trial without a credit card
- Includes API access and free helper tools such as an llms.txt generator
Limitations
- Only one plan, so growth beyond 500 prompts means buying extras
- Data refreshes weekly at minimum, not daily
- The $79 price is described as a limited-time offer
- Focused on tracking; no built-in content writing or optimization
How much does LLMrefs cost
A single All in One plan is listed at $79/month, shown as a limited-time offer, and it includes 500 tracked prompts. The pricing page advertises a 7-day free trial with no credit card required.
| Plan | Monthly | Annual /mo | Includes |
|---|---|---|---|
| All in One | $79 | — | 500 tracked prompts across all supported AI engines, unlimited seats and projects, weekly data refresh, API access and CSV export. 7-day free trial; extra prompts can be purchased. |
Verified against the official pricing page.
Verdict
Use LLMrefs
- Tracking brand share of voice across many LLMs on a small budget
- Agencies managing several client projects without per-seat fees
- Multi-country and multi-language AI visibility monitoring
- Finding which sources AI models cite for a topic
Skip LLMrefs
- You need daily prompt refreshes
- You want content briefs or writing tools in the same product
- You need multiple pricing tiers to scale gradually
- You need enterprise controls such as SSO documented up front
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